ArticleChaos, solitons, and fractals2020
An epidemic model SIPHERD and its application for prediction of the spread of COVID-19 infection in India.
Article in Chaos, solitons, and fractals, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 79 citations in OpenAlex.
- COVINet: a deep learning-based and interpretable prediction model for the county-wise trajectories of COVID-19 in the United States.Journal of applied statistics · 2025Article
- A novel online multi-task learning for COVID-19 multi-output spatio-temporal prediction.Heliyon · 2023Article
- Decoding the double trouble: A mathematical modelling of co-infection dynamics of SARS-CoV-2 and influenza-like illness.Bio Systems · 2023Article
- Linear and non-linear dynamics of the epidemics: System identification based parametric prediction models for the pandemic outbreaks.ISA transactions · 2022Article
- Discourse on COVID-19 Mass Testing vs. Rapid Testing Processing.Frontiers in public health · 2022Article
- Optimal control analysis of COVID-19 vaccine epidemic model: a case study.European physical journal plus · 2022Article
- Pandemic fatigue impact on COVID-19 spread: A mathematical modelling answer to the Italian scenario.Results in physics · 2021Article
- Impact of intervention on the spread of COVID-19 in India: A model based study.Journal of theoretical biology · 2021Article
- Estimation of undetected symptomatic and asymptomatic cases of COVID-19 infection and prediction of its spread in the USA.Journal of medical virology · 2021Article
- Real-time measurement of the uncertain epidemiological appearances of COVID-19 infections.Applied soft computing · 2021Article
- The effect of occupant distribution on energy consumption and COVID-19 infection in buildings: A case study of university building.Building and environment · 2021Article
- Sen's Innovative Method for Trend Analysis of Epidemic: A Case Study of Covid-19 Pandemic in India.Transactions of the Indian National Academy of Engineering : an international journal of engineering and technology · 2021Article
- COVID-19 outbreak in India: an SEIR model-based analysis.Nonlinear dynamics · 2021Article
- Complex dynamics in susceptible-infected models for COVID-19 with multi-drug resistance.Chaos, solitons, and fractals · 2020Article
- An epidemic model SIPHERD and its application for prediction of the spread of COVID-19 infection in India.Chaos, solitons, and fractals · 2020Article
- Mass screening vs lockdown vs combination of both to control COVID-19: A systematic review.Journal of public health research · 2020Article
- Modeling the effects of contact tracing on COVID-19 transmission.Advances in difference equations · 2020Article
- Statistical Inference of COVID-19 Outbreak: Delay Distribution Effect in EQIR Modeling of Epidemic.Journal of medical signals and sensorsArticle
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Originating from Wuhan, China, in late 2019, and with a gradual spread in the last few months, COVID-19 has become a pandemic crossing 9 million confirmed positive cases and 450 thousand deaths. India is not only an overpopulated country but has a high population density as well, and at present, a high-risk nation where COVID-19 infection can go out of control. In this paper, we employ a compartmental epidemic model SIPHERD for COVID-19 and predict the total number of confirmed, active and death cases, and daily new cases. We analyze the impact of lockdown and the number of tests conducted per day on the prediction and bring out the scenarios in which the infection can be controlled faster. Our findings indicate that increasing the tests per day at a rapid pace (10k per day increase), stringent measures on social-distancing for the coming months and strict lockdown in the month of July all have a significant impact on the disease spread.
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